Person-recognition using Time-Of-Flight Cameras

Department: Electrics/Electronics & Software

Diplomarbeit Ref.Nr. E_071

Advanced driver assistance and automated driving systems open up new middle-term perspectives in mobility and are therefore currently one of the major goals in the development of future vehicles. A new type of imaging sensor – the so called Time-of-Flight Camera – offers better opportunities to monitor the surroundings of a vehicle. Since ToF measures directly a depth image, the computing effort needed to generate a 3d map of the scene is reduced significantly.

For the EU funded project IoSense, VIF – in collaboration with the European partners – is currently equipping a demonstrator vehicle with ToF cameras. Initially common of-the-shelf computing hardware will be used for the evaluation of the depth images. Later on the functionality will be ported on dedicated embedded hardware components.

Goal of this particular master thesis is the recognition of human shapes within depth images. For 2D images several algorithms for person recognition are available, both commercially and open source. In context of this work these algorithms should be evaluated and modified accordingly to cope with depth images instead.

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